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You're reading from  Mastering Transformers

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Published inSep 2021
PublisherPackt
ISBN-139781801077651
Edition1st Edition
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Authors (2):
Savaş Yıldırım
Savaş Yıldırım
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Savaş Yıldırım

Savaş Yıldırım graduated from the Istanbul Technical University Department of Computer Engineering and holds a Ph.D. degree in Natural Language Processing (NLP). Currently, he is an associate professor at the Istanbul Bilgi University, Turkey, and is a visiting researcher at the Ryerson University, Canada. He is a proactive lecturer and researcher with more than 20 years of experience teaching courses on machine learning, deep learning, and NLP. He has significantly contributed to the Turkish NLP community by developing a lot of open source software and resources. He also provides comprehensive consultancy to AI companies on their R&D projects. In his spare time, he writes and directs short films, and enjoys practicing yoga.
Read more about Savaş Yıldırım

Meysam Asgari- Chenaghlu
Meysam Asgari- Chenaghlu
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Meysam Asgari- Chenaghlu

Meysam Asgari-Chenaghlu is an AI manager at Carbon Consulting and is also a Ph.D. candidate at the University of Tabriz. He has been a consultant for Turkey's leading telecommunication and banking companies. He has also worked on various projects, including natural language understanding and semantic search.
Read more about Meysam Asgari- Chenaghlu

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References

Here are a few references that you can use to expand on what we learned in this chapter:

  • Radford, A., Wu, J., Child, R., Luan, D., Amodei, D. and Sutskever, I. (2019). Language Models are Unsupervised Multitask Learners. OpenAI blog, 1(8), 9.
  • Lewis, M., Liu, Y., Goyal, N., Ghazvininejad, M., Mohamed, A., Levy, O. and Zettlemoyer, L. (2019). BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. arXiv preprint arXiv:1910.13461.
  • Xue, L., Constant, N., Roberts, A., Kale, M., Al-Rfou, R., Siddhant, A. and Raffel, C. (2020). mT5: A massively multilingual pre-trained text-to-text transformer. arXiv preprint arXiv:2010.11934.
  • Raffel, C. , Shazeer, N. , Roberts, A. , Lee, K. , Narang, S. , Matena, M. and Liu, P. J. (2019). Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. arXiv preprint arXiv:1910.10683.
  • Yang, Z., Dai, Z., Yang, Y., Carbonell, J., Salakhutdinov,...
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Mastering Transformers
Published in: Sep 2021Publisher: PacktISBN-13: 9781801077651

Authors (2)

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Savaş Yıldırım

Savaş Yıldırım graduated from the Istanbul Technical University Department of Computer Engineering and holds a Ph.D. degree in Natural Language Processing (NLP). Currently, he is an associate professor at the Istanbul Bilgi University, Turkey, and is a visiting researcher at the Ryerson University, Canada. He is a proactive lecturer and researcher with more than 20 years of experience teaching courses on machine learning, deep learning, and NLP. He has significantly contributed to the Turkish NLP community by developing a lot of open source software and resources. He also provides comprehensive consultancy to AI companies on their R&D projects. In his spare time, he writes and directs short films, and enjoys practicing yoga.
Read more about Savaş Yıldırım

author image
Meysam Asgari- Chenaghlu

Meysam Asgari-Chenaghlu is an AI manager at Carbon Consulting and is also a Ph.D. candidate at the University of Tabriz. He has been a consultant for Turkey's leading telecommunication and banking companies. He has also worked on various projects, including natural language understanding and semantic search.
Read more about Meysam Asgari- Chenaghlu